You are not logged in.
Pages: 1
I'm having problems with the kinds of problems that require setting up conclusions.
Here's an example of a problem and what i did:
Tax returns include an option of designating $3 for presidential election campaigns, and it does not cost the taxpayer anything to make that designation. In a simple random sample of 250 tax returns from 1976, 27.6% of the returns designated the $3 for the campaign. In a simple random sample of 300 recent tax returns, 7.3% of the returns designated the $3 for the campaign. Use a 0.01 significance level to test the claim that the percentage of returns designating the $3 for the campaign was grerater in 1976 than it is now.
Claim: P1(1976) > P2(Now)
Opposite: P1<= P2
Null: P1=P2
Alternative: P1 >P2
P-value: 9.5506e -11 > .01
My answer: Reject Null. The sample data support the claim that the percentage of returns designating the $3 for the campaign was grerater in 1976 than it is now.
Book Answer: Reject Null. There is sufficient evidence to warrant rejection of the claim that the percentage of returns designating the $3 for the campaign was grerater in 1976 than it is now.
What I don't get is that when I am doing the conclusion the original claim has no equality so how can the book state this conclusion if there is no equality?
yep its under the normal probability distribution chapter review lol
yes i found out the answer thanks to the formula you gave me earlier, and i figured out C based on the information B provided. thank you!
okay i got the second one by using a different formula getting a z score of 1.23, then i put it in normalcdf(1.23,5) and got .1093 as the answer
never done t-scores before, how do we do them?
hmmm lets say its 25 people, how would we find that?
ohhh i see. Now for the second one how do i do that now that i have 20 people?
okay what would both percentages stand for?
okay i'm there
okay from there i put in normalcdf(.2759,5) and i would get .3913
I got .2759
I need help on one of these questions can anyone break this problem down step by step and explain to me how this works:
Based on data from the National Health and Nutrition Examination Survery, assume that weights of men are normally distributed with a mean of 172lbs and a Standard deviation of 29lbs.
a)Find the probability that is an individual man is randomly selected his weight will be greater then 180lbs.
b)Find the probability that 20 RANDOMLY SELECTED MEN will have a mean weight that is greater then 180lbs.
c)If 20 men have a mean weight greater then 180lbs, and the total weight exceeds the 3500lb safe capacity of a particular water taxi. Based on the preceding results, is this a safety concern? Why or why not?
I'm having trouble with this one whould you please explain to me how to do this?
7. The midterm exam in nursing course consists of 75 true/false questions. Assume that unprepared student makes random guesses for each of the questions.
Would it be unusual for a student to pass the exam by guessing and getting at least 45 correct answers? Why or why not?
Pages: 1